Computer-Aided Analysis of Photographed Chest X-Ray Films Performs Well Compared With Trained Radiologists

Authors

Anders Solitander Bohlbro (ORCID: https://orcid.org/0000-0003-2302-0461)
Temesgen Tadesse
Segenet Bizuneh (ORCID: https://orcid.org/0000-0003-0892-4964)
Hikma Fekadu
Zerubabel Tegegne Desita
Sruti Sridhar
Armando Sifna
Thomas B. Schön (ORCID: https://orcid.org/0000-0001-5183-234X)
Dennis Robert
F. Rudolf
Manoj Tadepalli
Christian Wejse

Institutions

Linköping University (SE)
Bandim Health Project (GW)
Aarhus University (DK)
Aarhus University Hospital (DK)
Landstinget i Kalmar län (SE)
University of Gondar (ET)

Publication Details

Journal: Mayo Clinic Proceedings Digital Health
Published: 2026-01-21
DOI: https://doi.org/10.1016/j.mcpdig.2026.100338
Primary Topic: COVID-19 diagnosis using AI
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Novo Nordisk
Vetenskapsrådet
Novo Nordisk Fonden
Scandinavian Society for Antimicrobial Chemotherapy Foundation

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Computer-Aided Analysis of Photographed Chest X-Ray Films Performs Well Compared With Trained Radiologists

Anders Solitander Bohlbro, Temesgen Tadesse, Segenet Bizuneh, Hikma Fekadu et al.

Jan 21, 2026

Mayo Clinic Proceedings Digital Health

COVID-19 diagnosis using AI

article

Computer-Aided Analysis of Photographed Chest X-Ray Films Performs Well Compared With Trained Radiologists

Anders Solitander Bohlbro, Temesgen Tadesse, Segenet Bizuneh, Hikma Fekadu, Zerubabel Tegegne Desita, Sruti Sridhar, Armando Sifna, Thomas B. Schön, Dennis Robert, F. Rudolf, Manoj Tadepalli, Christian Wejse

January 21, 2026article en

Abstract

No abstract available for this paper.

Mayo Clinic Proceedings Digital HealthVol. 4(1)

Linköping University (SE), Bandim Health Project (GW), Aarhus University (DK), Aarhus University Hospital (DK), Landstinget i Kalmar län (SE), University of Gondar (ET)

Novo Nordisk, Vetenskapsrådet, Novo Nordisk Fonden, Scandinavian Society for Antimicrobial Chemotherapy Foundation

Openalex Percentile: Top 83%

COVID-19 diagnosis using AI

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.